Network security situation assessment method integrating fuzzy cluster analysis and fuzzy comprehensive evaluation decision-making

By integrating fuzzy clustering analysis and fuzzy comprehensive judgment decision-making methods, the flexibility and adaptability of network security situation awareness are solved, flexible response to dynamic changes in the network environment and timely discovery of new attacks are achieved, and the accuracy and reliability of network security situation evaluation are improved.

CN120342780BActive Publication Date: 2025-08-12CHENGDU UNIV OF INFORMATION TECH
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Patent Information

Application Number
CN202510780752.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-12
Publication Date
2025-08-12
Estimated Expiration
2045-06-12

AI Technical Summary

Technical Problem

Existing network security situation awareness methods cannot flexibly adapt to dynamic changes in the network environment, are difficult to cover unknown attacks and zero-day vulnerabilities, and are difficult to fully capture event correlation, resulting in the inability to discover new attacks in a timely manner.

Method used

The method of fusion fuzzy clustering analysis and fuzzy comprehensive judgment decision-making is adopted, and the data is standardized through the translation-extreme transformation method, the fuzzy similarity matrix and the fuzzy equivalent matrix are constructed, and the situation factor set is constructed dynamically. The weight is determined by hierarchical analysis method to conduct network security situation evaluation.

Benefits of technology

It realizes the flexibility and adaptability of network security situation assessment, can respond to threat changes in a timely manner, comprehensively consider the fuzzy interactions of various clustering factors, and improves the accuracy and reliability of the assessment.

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Abstract

The present invention discloses a network security situation assessment method that integrates fuzzy cluster analysis and fuzzy comprehensive evaluation and decision-making, which relates to the field of network security technology. The method includes: first, obtaining an initial data matrix, then using the translation-range transformation method to standardize it, then constructing a fuzzy similarity matrix through the similarity coefficient-quantity product method, then obtaining a fuzzy equivalence matrix based on the closure transfer characteristic, and performing dynamic clustering to construct a first-level situation factor set and a second-level situation factor set; then, based on expert advice, obtaining a single-factor fuzzy mapping set of characteristic attributes of each cluster, and using the hierarchical analysis method to obtain the corresponding weight vector; using a weighted average operator to calculate the fuzzy comprehensive evaluation matrix, and then obtaining the status of the network security situation through the maximum membership principle. Therefore, the above method can comprehensively consider the fuzzy interactions and weight distribution of each clustering factor to achieve network security situation assessment, and the assessment framework is more flexible and adaptable.
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